Instructions to use prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Xenova/tiny-random-Phi3ForCausalLM") model = PeftModel.from_pretrained(base_model, "prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125: direct link, hf CLI and curl.
- Browser
- Download file 30.7 kB
-
https://huggingface.co/prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125/resolve/main/adapter_model.safetensors
30.7 kB
- Xet hash:
- c1183d4ef1ebc7ae59acd15d07ae76e17808014a1a286536e4ac087bd256a787
- Size of remote file:
- 30.7 kB
- SHA256:
- 20eaf8145e3020c5334d1da8991a58d59bea9e6180422f48760a27ccaf64d616
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